Towards a Deep Belief Network-Based Cloud Resource Demanding Prediction
作者： Weishan Zhang , Pengcheng Duan
DOI: 10.1109/UIC-ATC-SCALCOM-CBDCOM-IOP.2015.194
关键词:
摘要: Predicting resource demands in cloud computing environment is very important order to make system run optimally. The existing work falls short conducting prediction an satisfiable accuracy. In this paper, we propose use Deep Belief Network(DBN)-based approach for demanding prediction, which can capture high variances metric data without hand-crafting specified features. We have evaluated the proposed with Google cluster trace released 2011 show effectiveness terms of It shows that DBN-based predict term a accurate way, and long acceptable
ieeecomputersociety.org参考文章(23)
Peter A. Dinda, David R. O'Hallaron, Host load prediction using linear models Cluster Computing. ,vol. 3, pp. 265- 280 ,(2000) , 10.1023/A:1019048724544
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri Mohan, Lisa Ann Osadciw, Optimization using particle swarms with near neighbor interactions genetic and evolutionary computation conference. ,vol. 2723, pp. 110- 121 ,(2003) , 10.1007/3-540-45105-6_10
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nicole Wolter, A performance prediction framework for scientific applications international conference on computational science. pp. 926- 935 ,(2003) , 10.1007/3-540-44863-2_91
Sheng Di, Derrick Kondo, Franck Cappello, Characterizing and modeling cloud applications/jobs on a Google data center The Journal of Supercomputing. ,vol. 69, pp. 139- 160 ,(2014) , 10.1007/S11227-014-1131-Z
Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang, Efficient Resources Provisioning Based on Load Forecasting in Cloud The Scientific World Journal. ,vol. 2014, pp. 321231- 321231 ,(2014) , 10.1155/2014/321231
Timo Teräsvirta, C. W. J. Granger, Modelling nonlinear economic relationships ,(1993)
Christopher Dabrowski, Fern Hunt, Using Markov chain analysis to study dynamic behaviour in large-scale grid systems grid computing. pp. 29- 40 ,(2009) , 10.5555/1862805.1862814
Zhenni Wang, Christine Di Massimo, Ming T. Tham, A. Julian Morris, A procedure for determining the topology of multilayer feedforward neural networks Neural Networks. ,vol. 7, pp. 291- 300 ,(1994) , 10.1016/0893-6080(94)90023-X
Juan M. Tirado, Daniel Higuero, Florin Isaila, Jesus Carretero, Multi-model prediction for enhancing content locality in elastic server infrastructures ieee international conference on high performance computing, data, and analytics. pp. 1- 9 ,(2011) , 10.1109/HIPC.2011.6152728
Walfredo Cirne, Derrick Kondo, Sheng Di, Host load prediction in a Google compute cloud with a Bayesian model ieee international conference on high performance computing data and analytics. pp. 1- 11 ,(2012) , 10.5555/2388996.2389025